Zhao Hong Wei, Luo Jun Hang, Xu Hui Xiong, Wang Dao Hu, Lai Ying Rong, Chen Mian Ni, Lv Jian Yao, Xie Xiao Yan, Lu Ming De, Chen Wei
Department of Urology, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Urol Int. 2011;87(2):165-70. doi: 10.1159/000327988. Epub 2011 Aug 11.
To investigate the value of contrast-enhanced transrectal ultrasound (CETRUS) in predicting the nature of prostate diseases and prostate cancer Gleason score.
106 patients suspected of prostate cancer were evaluated with CETRUS followed by systematic biopsy. Prostate blood flow of CETRUS was graded using a subjective 5-point scale. The relationships between ultrasound findings and biopsy outcomes, as well as prostate cancer Gleason score were analyzed. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic performance of CETRUS.
Biopsy revealed prostate cancer in 43 of 106 patients. The proportions of malignant histology in the groups with CETRUS scores of 1-5 were 0% (0/10), 8.3% (2/24), 31.7% (13/41), 88.9% (16/18) and 92.3% (12/13), respectively. The rate of prostate cancer with a Gleason score ≥7 in the groups with a CETRUS score of 2-5 were 0% (0/2), 15.4% (2/13), 37.5% (6/16) and 91.7% (11/12), respectively. The blood flow grading scale correlated with pathological outcomes and Gleason score significantly (r = 0.66, p < 0.001; and r = 0.61, p < 0.001, respectively). ROC analysis showed the area under the ROC curve to be 0.87.
CETRUS-based blood flow grading scale is a reliable tool for predicting the pathological outcome of prostate diseases and prostate cancer Gleason score noninvasively.
探讨经直肠超声造影(CETRUS)在预测前列腺疾病性质及前列腺癌Gleason评分方面的价值。
对106例疑似前列腺癌患者进行CETRUS检查,随后进行系统活检。采用主观5分制对CETRUS的前列腺血流进行分级。分析超声检查结果与活检结果以及前列腺癌Gleason评分之间的关系。进行受试者操作特征(ROC)分析以评估CETRUS的诊断性能。
106例患者中,活检发现43例前列腺癌。CETRUS评分1 - 5组的恶性组织学比例分别为0%(0/10)、8.3%(2/24)、31.7%(13/41)、88.9%(16/18)和92.3%(12/13)。CETRUS评分2 - 5组中Gleason评分≥7的前列腺癌发生率分别为0%(0/2)、15.4%(2/13)、37.5%(6/16)和91.7%(11/12)。血流分级量表与病理结果和Gleason评分显著相关(r分别为0.66,p < 0.001;r为0.61,p < 0.001)。ROC分析显示ROC曲线下面积为0.87。
基于CETRUS的血流分级量表是一种可靠的工具,可用于无创预测前列腺疾病的病理结果及前列腺癌Gleason评分。